{
"item_title" : "Benchmarks and Hybrid Algorithms in Optimization and Applications",
"item_author" : [" Xin-She Yang "],
"item_description" : "This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
",
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Overview
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
This item is Non-Returnable
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Details
- ISBN-13: 9789819939695
- ISBN-10: 9819939690
- Publisher: Springer
- Publish Date: August 2023
- Dimensions: 9.29 x 6.38 x 0.71 inches
- Shipping Weight: 1.3 pounds
- Page Count: 246
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